Leonidas G. Bleris

This study shows NAB2-STAT6 fusion proteins form nuclear condensates that drive transcriptional changes in SFT, and Mithramycin A disrupts these condensates.

EMTscore provides an efficient tool for unbiased scoring of EMT pathways in single-cell or bulk omics data and enables rapid screening of gene set correlations.

This study identifies BET inhibitors Mivebresib and BMS-986158 as effective anti-SFT agents through high-throughput screening and preclinical models.

This paper develops a Random Forest model to predict neurostimulation-induced tissue damage using multiple stimulation parameters, achieving 88.3% accuracy compared to 63.9% for the Shannon equation.

This study investigates how variability in cell cycle periodicity affects desynchronization in HeLa cells, showing that increased variability leads to faster desynchronization.

This paper introduces CREAM-PUFs, a method to create unclonable identifiers in human cells using CRISPR and DNA repair stochasticity, enabling provenance attestation for cell line distribution.

This study uses CRISPR to analyze edge-specific effects in biological networks, showing that edges are critical for network function and stability.